class_docstr: Evaluator for random generation task. Metric is the chemical validity ratio (represented in percentage) and the MMD distances of bond length distribution between the generated molecular geometries and those in the dataset.
code: def __init__(self):
      pass
  
file_path: DIG/dig/ggraph3D/evaluation/metric.py
imports: import torch
  import numpy
  from dig.ggraph3D.utils import xyz2mol, collect_bond_dists, compute_mmd, compute_prop
label_desc: Use image node_id 1 to create a new RandGenEvaluator object  with example: obj = RandGenEvaluator()